EP3120578B2 - Crowd-source empfehlungen für hörgeräte - Google Patents

Crowd-source empfehlungen für hörgeräte Download PDF

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Publication number
EP3120578B2
EP3120578B2 EP15714128.4A EP15714128A EP3120578B2 EP 3120578 B2 EP3120578 B2 EP 3120578B2 EP 15714128 A EP15714128 A EP 15714128A EP 3120578 B2 EP3120578 B2 EP 3120578B2
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European Patent Office
Prior art keywords
parameters
user
hearing assistance
assistance device
environment
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EP15714128.4A
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English (en)
French (fr)
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EP3120578B1 (de
EP3120578A1 (de
Inventor
Andrew Sabin
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Bose Corp
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Bose Corp
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/70—Adaptation of deaf aid to hearing loss, e.g. initial electronic fitting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/30—Monitoring or testing of hearing aids, e.g. functioning, settings, battery power
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
    • H04R2225/41—Detection or adaptation of hearing aid parameters or programs to listening situation, e.g. pub, forest
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
    • H04R2225/55—Communication between hearing aids and external devices via a network for data exchange
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2460/00—Details of hearing devices, i.e. of ear- or headphones covered by H04R1/10 or H04R5/033 but not provided for in any of their subgroups, or of hearing aids covered by H04R25/00 but not provided for in any of its subgroups
    • H04R2460/07—Use of position data from wide-area or local-area positioning systems in hearing devices, e.g. program or information selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/50—Customised settings for obtaining desired overall acoustical characteristics
    • H04R25/505—Customised settings for obtaining desired overall acoustical characteristics using digital signal processing
    • H04R25/507—Customised settings for obtaining desired overall acoustical characteristics using digital signal processing implemented by neural network or fuzzy logic

Definitions

  • the user would have to provide feedback (e.g., verbal feedback) on the acoustic performance of the device, and the clinician would have to interpret the feedback to make adjustments to the parameter values accordingly.
  • feedback e.g., verbal feedback
  • the manual fitting process thus depends on a user's ability to provide feedback, and the clinician's ability to understand and interpret the feedback accurately.
  • a machine learning process can be configured to assign higher weights to snapshots from the same user. This can be done for example, using a large number of previous snapshots from the user (or a large number of duplications of those snapshots) in training the machine learning process.
  • two separate machine learning processes can be used: one trained based on snapshots from the same user (or multiple users from a predetermined user type), and the other trained based on snapshots from other users. In determining the final recommended parameters, the corresponding parameters obtained using the two separate machine learning processes can be combined as a weighted combination, and the parameter from the machine learning process trained using the snapshots from the same user can be assigned a higher weight in such a combination.
  • Identification information associated with the acoustic environment can include, for example, various spectral, temporal, or spectro-temporal statistics, including, for example, overall sound pressure level, variation in sound pressure level over time, sound pressure level in N frequency bands, variation of level in each band over time, the estimated signal-to-noise ratio, the frequency spectrum, the amplitude modulation spectrum, cross-frequency envelope correlations, cross-modulation-frequency envelope correlations, outputs of an auditory model, and/or mel-frequency cepstral coefficients.
  • various spectral, temporal, or spectro-temporal statistics including, for example, overall sound pressure level, variation in sound pressure level over time, sound pressure level in N frequency bands, variation of level in each band over time, the estimated signal-to-noise ratio, the frequency spectrum, the amplitude modulation spectrum, cross-frequency envelope correlations, cross-modulation-frequency envelope correlations, outputs of an auditory model, and/or mel-frequency cepstral coefficients.
  • Operations of the process 400 includes receiving first information representing a set of parameters that are usable to adjust a hearing assistance device (410).
  • the set of parameters can be received from a handheld device (e.g., the handheld device 102 described with reference to FIG. 1 ).
  • the set of parameters can also be received from a hearing assistance device.
  • Operations of the process 400 also includes receiving second information identifying characteristics of a user of the hearing device and an acoustic environment of the hearing device (420).
  • the second information can include information substantially similar to the identification information described above with reference to FIG. 3 .
  • the initiation can be automatic, for example, based on detecting a change in the acoustic environment of the hearing assistance device. Such a change can be detected, for example, by processing circuitry residing on the hearing assistance device, or on a handheld device configured to communicate with the hearing assistance device.

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Otolaryngology (AREA)
  • Neurosurgery (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Circuit For Audible Band Transducer (AREA)

Claims (13)

  1. System, umfassend:
    eine Empfehlungs-Engine (125), die eine oder mehrere Verarbeitungsvorrichtungen umfasst,
    wobei die Empfehlungs-Engine dazu konfiguriert ist:
    Identifikationsinformationen (127) zu empfangen, die Informationen einschließen, welche (i) einen Benutzertyp, der einem Benutzer einer Hörhilfevorrichtung (104, 106, 108, 110) zugeordnet ist, und (ii) einen Umgebungstyp, der einer akustischen Umgebung (105a, 105b, 105c, 105d) der Hörhilfevorrichtung zugeordnet ist, angeben,
    basierend auf den Identifikationsinformationen und durch Verarbeiten einer Vielzahl von vorgespeicherten Dateneinheiten (132) einen für den Benutzertyp und den Umgebungstyp relevanten empfohlenen Parametersatz (129) zu bestimmen zum Anpassen von Einstellungen der Hörhilfevorrichtung in der akustischen Umgebung, wobei die Vielzahl von vorgespeicherten Dateneinheiten Parameter repräsentieren, die von einer Vielzahl von Benutzern in verschiedenen akustischen Umgebungen verwendet werden,
    wobei die Vielzahl von vorgespeicherten Dateneinheiten (132) eine Sammlung von Schnappschüssen einschließt, wobei ein Schnappschuss einen Satz von Parameterwerten einschließt, die von einem Benutzer der Vielzahl von Benutzern für eine Hörhilfevorrichtung unter einem speziellen akustischen Kontext zu einer gegebenen Zeit ausgewählt werden,
    wobei das Bestimmen umfasst:
    Identifizieren, basierend auf den Identifikationsinformationen (127), eines Benutzertyps, der dem Benutzer zugeordnet ist;
    Identifizieren, basierend auf den Identifikationsinformationen, eines Umgebungstyps, der der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet ist;
    Auswählen einer Vielzahl von Schnappschüssen der Sammlung von Schnappschüssen, die für den Benutzertyp und den Umgebungstyp relevant sind; und
    Bestimmen des empfohlenen Parametersatzes (129) durch Kombinieren entsprechender Parameter aus den ausgewählten Schnappschüssen in einer gewichteten Kombination, und den empfohlenen Parametersatz der Hörhilfevorrichtung bereitzustellen; und
    eine Speichervorrichtung (130), die dazu konfiguriert ist, die Vielzahl von vorgespeicherten Dateneinheiten zu speichern.
  2. System nach Anspruch 1, wobei der empfohlene Parametersatz (129) Einstellungen der Hörhilfevorrichtung (104, 106, 108, 110) repräsentiert, die auf Attributen des Benutzers und auf der akustischen Umgebung (105a, 105b, 105c, 105d) basieren.
  3. System nach Anspruch 1 bis 2, wobei die Identifikationsinformationen (127) eines oder mehrere umfassen aus: einer Identifikation der speziellen Hörhilfevorrichtung (104, 106, 108, 110), demographischen Informationen, Altersinformationen oder Geschlechtsinformationen.
  4. System nach einem der Ansprüche 1 bis 3, wobei die Identifikationsinformationen (127) eines oder mehrere umfassen aus spektralen, temporalen oder spektral-temporalen Merkmalen, die der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet sind.
  5. System nach einem der Ansprüche 1 bis 4, wobei die Identifikationsinformationen (127), die der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet sind, Informationen umfassen, die ein Vorhandensein von einer oder mehreren akustischen Quellen eines vorbestimmten Typs identifizieren.
  6. System nach einem der Ansprüche 1 bis 5, wobei die Identifikationsinformationen (127), die der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet sind, Informationen bezüglich einer Zahl von Sprechenden in der akustischen Umgebung umfassen.
  7. System nach einem der Ansprüche 1 bis 6, wobei der empfohlene Parametersatz (129) unter Verwendung eines maschinellen Lernprozesses bestimmt wird, der unter Verwendung der Vielzahl von vorgespeicherten Dateneinheiten (132) trainiert wird.
  8. System nach Anspruch 7, wobei ein oder mehrere aus den Identifikationsinformationen (127) extrahierte identifizierende Merkmale dem trainierten maschinellen Lernprozess als eine Eingabe bereitgestellt werden, um den empfohlenen Parametersatz (129) zu erhalten.
  9. System nach einem der Ansprüche 1 bis 8, wobei die Empfehlungs-Engine (125) dazu konfiguriert ist, über eine mobile Vorrichtung (102) mit der Hörhilfevorrichtung (104, 106, 108, 110) zu kommunizieren.
  10. Computerimplementiertes Verfahren, umfassend:
    Empfangen, an einer oder mehreren Verarbeitungsvorrichtungen, von Identifikationsinformationen (127), die Informationen einschließen, welche (i) einen Benutzertyp, der einem Benutzer einer Hörhilfevorrichtung (104, 106, 108, 110) zugeordnet ist, und (ii) einen Umgebungstyp, der einer akustischen Umgebung (105a, 105b, 105c, 105d) der Hörhilfevorrichtung zugeordnet ist, angeben;
    Bestimmen, basierend auf den Identifikationsinformationen und durch Verarbeiten einer Vielzahl von vorgespeicherten Dateneinheiten (132), die der einen oder den mehreren Verarbeitungsvorrichtungen zugänglich sind, eines für den Benutzertyp und den Umgebungstyp relevanten empfohlenen Parametersatzes (129) zum Anpassen von Einstellungen der Hörhilfevorrichtung in der akustischen Umgebung, wobei die Vielzahl von vorgespeicherten Dateneinheiten Parameter repräsentieren, die von einer Vielzahl von Benutzern in verschiedenen akustischen Umgebungen verwendet werden;
    wobei die Vielzahl von vorgespeicherten Dateneinheiten (132) eine Sammlung von Schnappschüssen einschließt, wobei ein Schnappschuss einen Satz von Parameterwerten einschließt, die von einem Benutzer der Vielzahl von Benutzern für eine Hörhilfevorrichtung unter einem speziellen akustischen Kontext zu einer gegebenen Zeit ausgewählt werden,
    wobei das Bestimmen umfasst:
    Identifizieren, basierend auf den Identifikationsinformationen (127), eines Benutzertyps, der dem Benutzer zugeordnet ist;
    Identifizieren, basierend auf den Identifikationsinformationen, eines Umgebungstyps, der der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet ist;
    Auswählen einer Vielzahl von Schnappschüssen der Sammlung von Schnappschüssen, die für den Benutzertyp und den Umgebungstyp relevant sind; und
    Bestimmen des empfohlenen Parametersatzes (129) durch Kombinieren entsprechender Parameter aus den ausgewählten Schnappschüssen in einer gewichteten Kombination, und Bereitstellen des empfohlenen Parametersatzes an die Hörhilfevorrichtung.
  11. Verfahren nach Anspruch 10, wobei die Identifikationsinformationen (127) eines oder mehrere umfassen aus spektralen, temporalen oder spektral-temporalen Merkmalen, die der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet sind.
  12. Verfahren nach den Ansprüchen 10 bis 11, wobei die Identifikationsinformationen (127), die der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet sind, Informationen umfassen, die ein Vorhandensein von einer oder mehreren akustischen Quellen eines vorbestimmten Typs identifizieren.
  13. Verfahren nach den Ansprüchen 10 bis 12, wobei die Identifikationsinformationen (127), die der akustischen Umgebung (105a, 105b, 105c, 105d) zugeordnet sind, Informationen bezüglich einer Zahl von Sprechenden in der akustischen Umgebung umfassen.
EP15714128.4A 2014-03-19 2015-03-19 Crowd-source empfehlungen für hörgeräte Active EP3120578B2 (de)

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Application Number Priority Date Filing Date Title
US201461955451P 2014-03-19 2014-03-19
PCT/US2015/021461 WO2015143151A1 (en) 2014-03-19 2015-03-19 Crowd sourced recommendations for hearing assistance devices

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EP3120578A1 EP3120578A1 (de) 2017-01-25
EP3120578B1 EP3120578B1 (de) 2018-10-31
EP3120578B2 true EP3120578B2 (de) 2022-08-17

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US20150271607A1 (en) 2015-09-24
CN106465025B (zh) 2019-09-17
US20150271608A1 (en) 2015-09-24
WO2015143151A1 (en) 2015-09-24
EP3120578B1 (de) 2018-10-31
EP3120578A1 (de) 2017-01-25

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